Squash ALL models

.gitattributes

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README.md

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+---
+license: other
+license_name: model-distribution-disclaimer-license
+license_link: https://huggingface.co/spaces/deepghs/RDLicence
+pipeline_tag: feature-extraction
+tags:
+- onnx
+- face
+---
+
+ONNX models from [insightface project](https://github.com/deepinsight/insightface).
+
+# Available Models
+
+We evaluated all these models with some evaluation datasets on face recognition.
+
+* CFPW (500 ids/7K images/7K pairs)[1]
+* LFW (5749 ids/13233 images/6K pairs)[2]
+* CALFW (5749 ids/13233 images/6K pairs)[3]
+* CPLFW (5749 ids/13233 images/6K pairs)[4]
+
+Below are the complete results and recommended thresholds.
+
+* Det: Success rate of face detection and landmark localization.
+* Rec-F1: Maximum F1 score achieved in face recognition.
+* Rec-Thresh: Optimal threshold determined by the maximum F1 score.
+
+| Model     | Eval ALL (Det/Rec-F1/Rec-Thresh)   | Eval CALFW (Det/Rec-F1/Rec-Thresh)   | Eval CFPW (Det/Rec-F1/Rec-Thresh)   | Eval CPLFW (Det/Rec-F1/Rec-Thresh)   | Eval LFW (Det/Rec-F1/Rec-Thresh)   |
+|:----------|:-----------------------------------|:-------------------------------------|:------------------------------------|:-------------------------------------|:-----------------------------------|
+| buffalo_l | 99.88% / 98.34% / 0.2203           | 100.00% / 95.75% / 0.2273            | 99.99% / 99.66% / 0.1866            | 99.48% / 96.41% / 0.2207             | 100.00% / 99.85% / 0.2469          |
+| buffalo_s | 99.49% / 96.87% / 0.1994           | 99.99% / 94.45% / 0.2124             | 99.65% / 98.64% / 0.1845            | 98.04% / 92.61% / 0.2019             | 100.00% / 99.68% / 0.2314          |
+
+[1] Sengupta Soumyadip, Chen Jun-Cheng, Castillo Carlos, Patel Vishal M, Chellappa Rama, Jacobs David W, Frontal to profile face verification in the wild, WACV, 2016.
+
+[2] Gary B. Huang, Manu Ramesh, Tamara Berg, and Erik Learned-Miller. Labeled Faces in the Wild: A Database for Studying Face Recognition in Unconstrained Environments, 2007.
+
+[3] Zheng Tianyue, Deng Weihong, Hu Jiani, Cross-age lfw: A database for studying cross-age face recognition in unconstrained environments, arXiv:1708.08197, 2017.
+
+[4] Zheng, Tianyue, and Weihong Deng. Cross-Pose LFW: A Database for Studying Cross-Pose Face Recognition in Unconstrained Environments, 2018.
+

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+    "max_f1": 0.9575276193158405,
+    "optimal_threshold": 0.22726376354694366,
+    "pr_auc": 0.9801468035006968,
+    "roc_auc": 0.9696858888888891
+}

buffalo_l/CFPW_metrics.json

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+    "det_ratio": 0.9998551774076756,
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+    "max_f1": 0.9965679915679992,
+    "optimal_threshold": 0.18659818172454834,
+    "pr_auc": 0.9994035231656557,
+    "roc_auc": 0.9991370988207875
+}

buffalo_l/CPLFW_metrics.json

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+    "max_f1": 0.9640831708057099,
+    "optimal_threshold": 0.2206880897283554,
+    "pr_auc": 0.9883191784600015,
+    "roc_auc": 0.9824685806263868
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buffalo_l/ref.json

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